Result for 048F0A125349E4EC4BE1331B6C3566F6842D3F9E

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/core/tests/__pycache__/test_indexerrors.cpython-34.pyc
FileSize8570
MD57B57269A253D22D090F47222FAEE5FA8
SHA-1048F0A125349E4EC4BE1331B6C3566F6842D3F9E
SHA-256E843725403368E8FE7ABAC6B2FC0CE68AAEB4DA8F0DBC518C5F8E8693C038FDF
SSDEEP192:+GpKF+Wy1TTbPdWK3KyVWyILN6TSaxSEWYM9:CF+Wy1TTblHVJ5ze
TLSHT192028E8097C28F6FF6ECF6B9BA6D53144E6AE5193F136302912090BE7FC479C4D21299
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD51E79F24F1CE2383809BA0458F954C643
PackageArchppc64
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageMaintainerFedora Project
PackageNamepython34-numpy
PackageRelease7.el7
PackageVersion1.10.4
SHA-117672A0EDC2E9E0C83FED6BC39A2F15D022B1EBA
SHA-256E770185F352B907E2CF9FDF63655E53B11C4226E938CE1C687DFA3050DDF2FA4